Digital Supply Chain Trends in the World Economy

Abstract— In connection with the ongoing changes in the world economy, associated with the acceleration of scientific and technological progress, changing as a result of the introduction of new technologies, the structure of production, the expansion of the use of digital technologies - there are positive structural changes in many industries. Views and approaches to solving various tasks and problems of innovative development are also changing. The paper presents the results of analyzing the trend of the digitalization process. It is concluded that public policy is the main factor and tool for the development of the digital supply chain of economy, and a forecast is made for the number of participants using various types of communication. The development of an innovative economy and the introduction of digital technologies clearly lead to the transformation and revision of the foundations of the global economy, as the modern economy is the economy of database management. In this paper, as far as statistical information is available, the main trends in the development of digital technologies in supply chain process are considered. The paper focuses on the availability of the Internet for households, the quality and speed of communication, the reasons that affect it, and the presence of cause-and-effect relationships. Analytical data on the share of the digital supply chain in GDP, government support for digital technologies, and investment in this area of the economy are provided for some developed and developing countries. The most frequently used digital technologies in supply chain that have prospects for both developed and developing countries are highlighted. The study provides data on the possibility of using digital technologies in the banking sector in order to reduce cash transactions

Global Supply Chain Trends in the Digital Economy Development and Its Individual Tools

Abstract The modern development of the world economy is accompanied by an increase in the role of science and innovation, the spread of information and communication technologies (ICT), including robotics. Today, ICT can be considered a leading factor in the arrangement of production and business processes, education, interaction of various subjects of society (state, organizations, and population), obtaining knowledge and information, leisure activities, and trade. ICT strengthen the material and technical base and stimulate socio-economic development, increasing the competitiveness and productive potential of the country’s economy. This topic is currently relevant, as the information society involves the widespread use of various information technologies in all areas of our activities. For example, at the moment in our society, a huge role is played by robotics, systems for distributing, storing and processing information that are based on computers. More and more inter-regional and international connections are being formed, which allows the exchange of information over long distances in the shortest possible time. In addition, the number of organizations using robotics is growing every day

CLINICOIMMUNOLOGICAL PECULIARITIES OF LUNG DISEASES

Functional, bronchoscopic, microbblogbal and immunologbal peculiarities ofchronb dust bronchitis and chronic bronchitis of toxicochemica I etiology are described on the basis of studies, consisting of 144patients

Study of the effectiveness of well logging data in the identification of hydraulic fracturing cracks

© 2020 International Multidisciplinary Scientific Geoconference. All rights reserved. Geophysical surveys of wells represent a wide range of methods, the rational integration of which make it easier the solution of geological problems. In this article, the authors investigate the issue of identifying the parameters of hydraulic fractures. This method is one of the frequently used methods for increasing well productivity. Modifications of nuclear logging and the possibility of acoustic logging are considered on the example of data before and after hydraulic fracturing in carbonate and sandstone deposits. The use of proppant marked with gadolinium (Gd) allows using neutron methods to register only cracks with a marking substance. As a result of borehole hydraulic fracturing, small secondary cracks form around the well that are not filled with proppant. According to acoustic logging data, fractures near the wellbore can cause significant attenuation of sound signals received after fracturing. Comparison of logging data during the interval of stimulation of inflow before and after fracturing allows determining the productivity of the work and evaluating the length of the fracture along the wellbore, or determining the intervals of proppant penetration. Conclusions about the capabilities of nuclear geophysical methods and acoustic logging to identify cracks resulting from hydraulic fracturing are obtained. The authors noted the weak and strong sides of each of the presented methods. Based on the results obtained, it is possible to draw conclusions about the use of a particular method, depending on the tasks set

Felling outturn assessment using Earth remote sensing data

Seismic exploration often demands forest clearing, thus making it important to assess the number of trees that must be cut down as the fieldwork proceeds. We suggest that remote sensing of the Earth’s surface with unmanned aircraft vehicles can be considered as a new approach to solving this problem. To test its validity and potential utility, we installed a laser scanning system and a high-resolution camera on the unmanned aircraft vehicle. The data obtained were used to derive the digital terrain and elevation models of the area under study. The resulting models were processed with the help of a neural network developed as part of this work. They proved to be useful in identifying trees and their classes within the forest sites subjected to clearing. Additionally, a special algorithm was proposed and applied to assess the felling outturn for each tree class taken separately

Hygienic health risk distribution due to atmospheric air pollution in low-lying cities

The total excess of components which pollute the atmospheric air of the city of Saratov has been increasing from May to October and is most evident for the locations of transport interchanges. The allocation of polluting components of atmospheric air corresponds to the distribution model of structural basin cities. The hazardous level of non-carcinogenic health risk caused by inhalation of substances polluting the atmospheric air of Saratov (HQ>1) is determined by the existence of nitrogen oxides, hydrogen sulfide, ammonia, and formaldehyde. Non-carcinogenic risk of hazard has a tendency to increase in the warm season – from May to July), as well as in the winter period (January-February). The carcinogenic health risk associated with the existence of formaldehyde in the air exceeds the upper limit of the permissible risk. The highest values of the carcinogenic risk match the monitoring points situated near motorways. This may be due to photochemical processes involving the results of incomplete fuel combustion in engines, in which formaldehyde is formed. The anticipated increase in respiratory morbidity due to chronic inhaled exposure to NO2 in children aged 6-7 years ranges from 44 to 79 percent, while the grow-up rates are higher in girls

Draft Genome Sequence of Lactobacillus gasseri Strain 2016

Different common factors contribute to the antagonistic properties of Lactobacillus gasseri toward various pathogens. However, there is strain-to-strain variation in the probiotic properties of this bacterium. The draft genome sequence of L. gasseri strain 2016 determined in this study will assist in understanding the genetic basis for such variation

Application of artificial neural networks for processing and interpretation of data from a scanning magnetic introscope

This paper presents the efficiency of using artificial neural networks for solving problems of processing and interpreting geophysical data obtained by scanning magnetic introscopy. Neural networks of various architectures have been implemented to solve the problems of processing primary material, searching for well structure objects,identifying casing defects. The analysis of the capabilities of neural networks in comparison with mathematical algorithms is carried out. To test machine learning algorithms and mathematical algorithms for processing, visualizing and storing the results, a software shell was created in which all tasks are solved using a set of tools. It was found that the use of artificial neural networks can significantly speed up the process of data processing and interpretation, as well as improve the quality of the results in comparison with individual mathematical algorithms. Nevertheless, the use of mathematical algorithms in solving some problems gives consistently better results. In particular, the problematic aspects were identified at the stage of interpretation when identifying defects. This is due to the presence of conventions in the isolation of defects by the operator at the stage of preparing data for training neural networks, which is a subjective factor and requires a deeper study